Nina Zhu

3.3k total citations · 2 hit papers
40 papers, 2.1k citations indexed

About

Nina Zhu is a scholar working on Applied Microbiology and Biotechnology, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Nina Zhu has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Microbiology and Biotechnology, 12 papers in Economics and Econometrics and 9 papers in Epidemiology. Recurrent topics in Nina Zhu's work include Antibiotic Use and Resistance (21 papers), COVID-19 epidemiological studies (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Nina Zhu is often cited by papers focused on Antibiotic Use and Resistance (21 papers), COVID-19 epidemiological studies (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Nina Zhu collaborates with scholars based in United Kingdom, China and United States. Nina Zhu's co-authors include Alison Holmes, Timothy M. Rawson, Mark Gilchrist, Keira Skolimowska, Graham Cooke, Luke Moore, Giovanni Satta, Rifat Atun, Julie V. Robotham and Nichola R. Naylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Nina Zhu

33 papers receiving 2.0k citations

Hit Papers

Bacterial and Fungal Coinfection in Individuals With Coro... 2018 2026 2020 2023 2020 2018 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bacterial and Fungal Coinfection in Individuals With Coronavirus: A Rapid Review To Support COVID-19 Antimicrobial Prescribing
    2020 1.1k citations Timothy M. Rawson, Nina Zhu et al. Clinical Infectious Diseases profile →
  2. Estimating the burden of antimicrobial resistance: a systematic literature review
    2018 387 citations Nichola R. Naylor, Rifat Atun et al. Antimicrobial Resistance and Infection Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nina Zhu United Kingdom 15 941 729 462 374 226 40 2.1k
Chand Wattal India 23 647 0.7× 677 0.9× 661 1.4× 510 1.4× 155 0.7× 84 2.0k
Massimo Sartelli Italy 34 649 0.7× 579 0.8× 586 1.3× 463 1.2× 333 1.5× 168 5.7k
Valerie Leung Canada 19 1.3k 1.4× 811 1.1× 768 1.7× 326 0.9× 386 1.7× 54 2.4k
Mark Gilchrist United Kingdom 23 1.2k 1.3× 750 1.0× 572 1.2× 492 1.3× 243 1.1× 48 2.4k
Miranda So Canada 15 1.2k 1.2× 812 1.1× 729 1.6× 350 0.9× 376 1.7× 40 2.2k
Michael Borg Malta 23 679 0.7× 706 1.0× 465 1.0× 346 0.9× 120 0.5× 72 1.8k
Bevin Cohen United States 28 377 0.4× 845 1.2× 481 1.0× 482 1.3× 224 1.0× 109 3.1k
Elena Carrara Italy 16 552 0.6× 513 0.7× 572 1.2× 373 1.0× 192 0.8× 45 2.3k
Beryl Primrose Gladstone Germany 25 497 0.5× 954 1.3× 392 0.8× 255 0.7× 126 0.6× 47 2.2k
Sumit Raybardhan Canada 14 1.2k 1.2× 991 1.4× 773 1.7× 335 0.9× 382 1.7× 21 2.3k

Countries citing papers authored by Nina Zhu

Since Specialization
Citations

This map shows the geographic impact of Nina Zhu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nina Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Zhu more than expected).

Fields of papers citing papers by Nina Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Zhu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nina Zhu. The network helps show where Nina Zhu may publish in the future.

Co-authorship network of co-authors of Nina Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Zhu. A scholar is included among the top collaborators of Nina Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Zhu. Nina Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Li, Ho Kwong, Nina Zhu, Juliana Coelho, et al.. (2025). Mortality Among Patients With Invasive Group A Streptococcal Infections Caused by the M1UK Lineage: A Retrospective Cohort Study in England and Wales. Clinical Infectious Diseases. 81(5). e277–e284.
4.
Wilson, Richard, et al.. (2025). Does anticancer therapy directly contribute to antimicrobial resistance?. The Lancet Microbe. 6(7). 101115–101115.
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Zhu, Nina, et al.. (2024). Structure characteristics and formation mechanism of the RCEP manufacturing trade network: An ERGM analysis. Physica A Statistical Mechanics and its Applications. 635. 129488–129488. 12 indexed citations
7.
Zhu, Nina, et al.. (2024). Economic Burden of Community-Acquired Antibiotic-Resistant Urinary Tract Infections: Systematic Review and Meta-Analysis. JMIR Public Health and Surveillance. 10. e53828–e53828. 4 indexed citations
8.
Cocker, Derek, Gabriel Birgand, Nina Zhu, et al.. (2024). Healthcare as a driver, reservoir and amplifier of antimicrobial resistance: opportunities for interventions. Nature Reviews Microbiology. 22(10). 636–649. 20 indexed citations
9.
Rawson, Timothy M., Nina Zhu, Ronald Galiwango, et al.. (2024). Using digital health technologies to optimise antimicrobial use globally. The Lancet Digital Health. 6(12). e914–e925. 5 indexed citations
10.
Mbamalu, Oluchi, Vrinda Nampoothiri, Candice Bonaconsa, et al.. (2023). A survey of patient and public perceptions and awareness of SARS-CoV-2-related risks among participants in India and South Africa. PLOS Global Public Health. 3(7). e0001078–e0001078. 2 indexed citations
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Zhu, Nina, et al.. (2022). Using system dynamics modelling to assess the economic efficiency of innovations in the public sector - a systematic review. PLoS ONE. 17(2). e0263299–e0263299. 13 indexed citations
13.
Mbamalu, Oluchi, Vrinda Nampoothiri, Candice Bonaconsa, et al.. (2022). Survey of healthcare worker perceptions of changes in infection control and antimicrobial stewardship practices in India and South Africa during the COVID-19 pandemic. IJID Regions. 6. 90–98. 4 indexed citations
14.
Price, James, Robert L. Peach, Mohamed Abbas, et al.. (2022). Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study. The Lancet Digital Health. 4(8). e573–e583. 12 indexed citations
15.
Zhu, Nina, et al.. (2022). Spatial Peer Effect of Enterprises’ Digital Transformation: Empirical Evidence from Spatial Autoregressive Models. Sustainability. 14(19). 12576–12576. 12 indexed citations
16.
Zhu, Nina, Timothy M. Rawson, Raheelah Ahmad, et al.. (2021). A Surveillance Framework for Healthcare Associated Infections and Antimicrobial Resistance in Acute Care in the Context of COVID-19: A Rapid Literature Review and Expert Consensus. SSRN Electronic Journal. 3 indexed citations
17.
Zhen, Xuemei, Cecilia Stålsby Lundborg, Xueshan Sun, et al.. (2021). Economic burden of antibiotic resistance in China: a national level estimate for inpatients. Antimicrobial Resistance and Infection Control. 10(1). 5–5. 68 indexed citations
18.
Naylor, Nichola R., Rifat Atun, Nina Zhu, et al.. (2018). Estimating the burden of antimicrobial resistance: a systematic literature review. Antimicrobial Resistance and Infection Control. 7(1). 58–58. 387 indexed citations breakdown →
19.
Naylor, Nichola R., Sachin Silva, Kavian Kulasabanathan, et al.. (2016). Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol. Systematic Reviews. 5(1). 187–187. 14 indexed citations
20.
Gurol‐Urganci, Ipek, et al.. (2016). Integration of antenatal care services with health programmes in low– and middle–income countries: systematic review. Journal of Global Health. 6(1). 10403–10403. 38 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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